The frequent occurrence of extreme heat events in the context of global warming poses a serious threat to public health.Increasing evidence has highlighted the limitations of China’s traditional early heat warning sy...The frequent occurrence of extreme heat events in the context of global warming poses a serious threat to public health.Increasing evidence has highlighted the limitations of China’s traditional early heat warning system,including an overemphasis on meteorological factors,the absence of health risk assessments,limited regional adaptability,and a disconnect between observations and public perception.These shortcomings hinder the ability of the system to meet the growing demand for precise health protection warnings and initiatives.Consequently,the development of an early warning system that focuses on the health risks of high temperatures has emerged as a critical strategy for addressing climate change-related health impacts.This study systematically reviews the existing standards and service limitations of heat warning systems in China and analyzes the necessity of advancing research on and applications of healthoriented heat risk warnings.In the future,the broader social scope of such meteorological warning systems is expected to transform them into health risk assessment systems that benefit the entire population.展开更多
A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and...A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.展开更多
Food safety has always been a critical issue concerning people s livelihoods.The complexity and diversity of hazardous substances in food make systematical and scientifical identification of potential risk factors aff...Food safety has always been a critical issue concerning people s livelihoods.The complexity and diversity of hazardous substances in food make systematical and scientifical identification of potential risk factors affecting food safety and accurate assessment and early warning for such risks one of the urgent problems for food safety inspection authorities.This paper explored food safety risk identification technologies,food safety risk monitoring technologies,and food safety risk early warning methods,aiming to provide theoretical support and research insights for improving food risk early warning systems.展开更多
The Yellow River Basin is one of the important sand-producing and sediment-transporting areas in China,and one of the three most important sand-producing areas in the world.The amount of sand and dust days in the“Thr...The Yellow River Basin is one of the important sand-producing and sediment-transporting areas in China,and one of the three most important sand-producing areas in the world.The amount of sand and dust days in the“Three Norths”(Dongbei,Xibei,and Huabei)area has increased,and regional sand and dust storms have occurred frequently.There are generally more serious hidden danger points of debris flow geological disasters in small and medium-sized river basins.The technical achievements of flood risk forecasting and early warning for medium and small rivers in the Yellow River Basin based on rainstorm-induced floods are important technical supports for flood forecasting and early warning for medium and small rivers.Based on this,a case study was carried out on the problems such as the weak forecasting and early warning ability of flood disasters induced by heavy rain and the low accuracy of flood disaster loss assessment in the flood disasters of medium and small rivers,for the reference of relevant personnel.展开更多
Objective: to explore the clinical impact and effect of applying safety management nursing and risk early warning in the treatment of orthopedic patients. Methods: according to the order of admission, 300 patients who...Objective: to explore the clinical impact and effect of applying safety management nursing and risk early warning in the treatment of orthopedic patients. Methods: according to the order of admission, 300 patients who received treatment in the Department of Orthopedics of our hospital from January 2019 to January 2020 were selected and divided into the observation group and the control group. The patients in the observation group were given ward safety management care, while the patients in the control group were given routine ward care management mode. The scores of two groups of patients on different care management were compared. Results: the patients' scores of the observation group receiving safety management nursing were far higher than those of the control group receiving routine management, and the data difference between the two groups was statistically significant (P < 0.05). Conclusion: the implementation of safety management nursing in orthopedic wards can effectively reduce the risk early warning, greatly improve the nursing effect and patient safety, and urge them to recover as soon as possible.展开更多
Objective: To explore the effect of risk early warning mechanism in orthopedic perioperative nursing.Methods a total of 76 patients were selected from May 2020 to may 2021. The patients were randomly divided into two ...Objective: To explore the effect of risk early warning mechanism in orthopedic perioperative nursing.Methods a total of 76 patients were selected from May 2020 to may 2021. The patients were randomly divided into two groups. The patients were divided into control group and observation group, with 38 cases in each group.The patients in the control group chose routine monitoring and nursing, and the patients in the observation group chose routine monitoring and added risk early warning mechanism.After the end of nursing work, the incidence of accidents and the total effective rate of treatment were compared between the two groups.Results after the end of nursing work, the accident rates of patients in the control group and the observation group were 18.34% and 2.63% respectively. There was significant difference between the two groups (P < 0.05);The total effective rates of patients in the control group and the observation group were 86.84% and 97.37% respectively. There was significant difference between the two groups (P < 0.05).Conclusion the application of risk early warning mechanism can effectively improve the incidence of accidents in orthopaedic perioperative nursing, and can significantly improve the overall treatment effect, which is worthy of clinical promotion and use.展开更多
To enhance the prevention capability of meteorological disasters in semi-arid mountainous areas,in view of the characteristics of strong suddenness,significant locality and high basin correlation of hazardous weather ...To enhance the prevention capability of meteorological disasters in semi-arid mountainous areas,in view of the characteristics of strong suddenness,significant locality and high basin correlation of hazardous weather in Liangcheng County,the progress of risk warning technology of hazardous weather and the innovative achievements of the construction of the basin joint prevention mechanism were systematically analyzed based on the recent prevention and mitigation practices of meteorological disasters in Liangcheng Meteorological Bureau.The results show that firstly,Liangcheng County has established an"ground-air-space"integrated monitoring network to achieve 5-min full coverage monitoring of core meteorological elements throughout the region.Secondly,relying on a multi-level forecasting system and intelligent technologies,the lead time of early warnings of hazardous weather has been extended to several hours,and the accuracy has significantly improved.Thirdly,a multi-channel and targeted warning dissemination system has been constructed,with a public coverage rate of over 90%.Fourthly,a basin joint prevention innovation model of"information sharing,joint discussion,and hierarchical linkage"has been formed,and the collaborative effectiveness of disaster response across regions and departments has been significantly enhanced.This research results can provide technical references and practical models for optimizing the prevention and mitigation system of meteorological disasters in regions with similar climate and geographical characteristics.展开更多
Combining the background of modern construction engineering site safety management,this article analyzes the real-time monitoring and alarm strategies for site construction safety under the integration of BIM and AI.T...Combining the background of modern construction engineering site safety management,this article analyzes the real-time monitoring and alarm strategies for site construction safety under the integration of BIM and AI.This includes the analysis of BIM and AI technologies and their integration advantages,real-time monitoring and alarm strategies for construction site safety based on BIM and AI integration,as well as the development direction of BIM and AI integration in real-time monitoring and alarm for construction site safety.It is hoped that through this analysis,a scientific reference can be provided for the digital and intelligent management of construction site safety,promoting the digital and intelligent development of its safety management work.展开更多
Safety is one of the most critical themes in any large-scale railway construction project.Recognizing the importance of safety in railway engineering,practitioners and researchers have proposed various standards and p...Safety is one of the most critical themes in any large-scale railway construction project.Recognizing the importance of safety in railway engineering,practitioners and researchers have proposed various standards and procedures to ensure safety in construction activities.In this study,we first review four critical research areas of risk warning technologies and emergency response mechanisms in railway construction,namely,(i)risk identification methods of large-scale railway construction projects,(ii)risk management of large-scale railway construction,(iii)emergency response planning and management,and(iv)emergency response and rescue mechanisms.After reviewing the existing studies,we present four corresponding research areas and recommendations on the Sichuan-Tibet Railway construction.This study aims to inject new significant theoretical elements into the decision-making process and construction of this railway project in China.展开更多
Sticking is the most serious cause of failure in complex drilling operations.In the present work a novel“early warning”method based on an artificial intelligence algorithm is proposed to overcome some of the known pr...Sticking is the most serious cause of failure in complex drilling operations.In the present work a novel“early warning”method based on an artificial intelligence algorithm is proposed to overcome some of the known pro-blems associated with existing sticking-identification technologies.The method is tested against a practical case study(Southern Sichuan shale gas drilling operations).It is shown that the twelve sets of sticking fault diagnostic results obtained from a simulation are all consistent with the actual downhole state;furthermore,the results from four groups of verification samples are also consistent with the actual downhole state.This shows that the pro-posed training-based model can effectively be applied to practical situations.展开更多
文摘The frequent occurrence of extreme heat events in the context of global warming poses a serious threat to public health.Increasing evidence has highlighted the limitations of China’s traditional early heat warning system,including an overemphasis on meteorological factors,the absence of health risk assessments,limited regional adaptability,and a disconnect between observations and public perception.These shortcomings hinder the ability of the system to meet the growing demand for precise health protection warnings and initiatives.Consequently,the development of an early warning system that focuses on the health risks of high temperatures has emerged as a critical strategy for addressing climate change-related health impacts.This study systematically reviews the existing standards and service limitations of heat warning systems in China and analyzes the necessity of advancing research on and applications of healthoriented heat risk warnings.In the future,the broader social scope of such meteorological warning systems is expected to transform them into health risk assessment systems that benefit the entire population.
基金Project(51175159)supported by the National Natural Science Foundation of ChinaProject(2013WK3024)supported by the Science andTechnology Planning Program of Hunan Province,ChinaProject(CX2013B146)supported by the Hunan Provincial InnovationFoundation for Postgraduate,China
文摘A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.
基金Supported by Hebei Provincial Outstanding Talent Development ProgramTangshan Talent Funding Project(A202202005).
文摘Food safety has always been a critical issue concerning people s livelihoods.The complexity and diversity of hazardous substances in food make systematical and scientifical identification of potential risk factors affecting food safety and accurate assessment and early warning for such risks one of the urgent problems for food safety inspection authorities.This paper explored food safety risk identification technologies,food safety risk monitoring technologies,and food safety risk early warning methods,aiming to provide theoretical support and research insights for improving food risk early warning systems.
文摘The Yellow River Basin is one of the important sand-producing and sediment-transporting areas in China,and one of the three most important sand-producing areas in the world.The amount of sand and dust days in the“Three Norths”(Dongbei,Xibei,and Huabei)area has increased,and regional sand and dust storms have occurred frequently.There are generally more serious hidden danger points of debris flow geological disasters in small and medium-sized river basins.The technical achievements of flood risk forecasting and early warning for medium and small rivers in the Yellow River Basin based on rainstorm-induced floods are important technical supports for flood forecasting and early warning for medium and small rivers.Based on this,a case study was carried out on the problems such as the weak forecasting and early warning ability of flood disasters induced by heavy rain and the low accuracy of flood disaster loss assessment in the flood disasters of medium and small rivers,for the reference of relevant personnel.
文摘Objective: to explore the clinical impact and effect of applying safety management nursing and risk early warning in the treatment of orthopedic patients. Methods: according to the order of admission, 300 patients who received treatment in the Department of Orthopedics of our hospital from January 2019 to January 2020 were selected and divided into the observation group and the control group. The patients in the observation group were given ward safety management care, while the patients in the control group were given routine ward care management mode. The scores of two groups of patients on different care management were compared. Results: the patients' scores of the observation group receiving safety management nursing were far higher than those of the control group receiving routine management, and the data difference between the two groups was statistically significant (P < 0.05). Conclusion: the implementation of safety management nursing in orthopedic wards can effectively reduce the risk early warning, greatly improve the nursing effect and patient safety, and urge them to recover as soon as possible.
文摘Objective: To explore the effect of risk early warning mechanism in orthopedic perioperative nursing.Methods a total of 76 patients were selected from May 2020 to may 2021. The patients were randomly divided into two groups. The patients were divided into control group and observation group, with 38 cases in each group.The patients in the control group chose routine monitoring and nursing, and the patients in the observation group chose routine monitoring and added risk early warning mechanism.After the end of nursing work, the incidence of accidents and the total effective rate of treatment were compared between the two groups.Results after the end of nursing work, the accident rates of patients in the control group and the observation group were 18.34% and 2.63% respectively. There was significant difference between the two groups (P < 0.05);The total effective rates of patients in the control group and the observation group were 86.84% and 97.37% respectively. There was significant difference between the two groups (P < 0.05).Conclusion the application of risk early warning mechanism can effectively improve the incidence of accidents in orthopaedic perioperative nursing, and can significantly improve the overall treatment effect, which is worthy of clinical promotion and use.
文摘To enhance the prevention capability of meteorological disasters in semi-arid mountainous areas,in view of the characteristics of strong suddenness,significant locality and high basin correlation of hazardous weather in Liangcheng County,the progress of risk warning technology of hazardous weather and the innovative achievements of the construction of the basin joint prevention mechanism were systematically analyzed based on the recent prevention and mitigation practices of meteorological disasters in Liangcheng Meteorological Bureau.The results show that firstly,Liangcheng County has established an"ground-air-space"integrated monitoring network to achieve 5-min full coverage monitoring of core meteorological elements throughout the region.Secondly,relying on a multi-level forecasting system and intelligent technologies,the lead time of early warnings of hazardous weather has been extended to several hours,and the accuracy has significantly improved.Thirdly,a multi-channel and targeted warning dissemination system has been constructed,with a public coverage rate of over 90%.Fourthly,a basin joint prevention innovation model of"information sharing,joint discussion,and hierarchical linkage"has been formed,and the collaborative effectiveness of disaster response across regions and departments has been significantly enhanced.This research results can provide technical references and practical models for optimizing the prevention and mitigation system of meteorological disasters in regions with similar climate and geographical characteristics.
基金“Research on AI-Intelligent Management Technology for Construction Safety Based on BIM Technology and Smart Construction Site Scenarios”(Project No.:KJQN202401904)“Research on Intelligent Monitoring System for Construction Quality and Safety Based on BIM and AI Technologies”(Project No.:202412608006)。
文摘Combining the background of modern construction engineering site safety management,this article analyzes the real-time monitoring and alarm strategies for site construction safety under the integration of BIM and AI.This includes the analysis of BIM and AI technologies and their integration advantages,real-time monitoring and alarm strategies for construction site safety based on BIM and AI integration,as well as the development direction of BIM and AI integration in real-time monitoring and alarm for construction site safety.It is hoped that through this analysis,a scientific reference can be provided for the digital and intelligent management of construction site safety,promoting the digital and intelligent development of its safety management work.
基金supported by the National Natural Science Foundation of China(Grant No.71942006)the Fundamental Research Funds for the Central Universities(2019RC053).
文摘Safety is one of the most critical themes in any large-scale railway construction project.Recognizing the importance of safety in railway engineering,practitioners and researchers have proposed various standards and procedures to ensure safety in construction activities.In this study,we first review four critical research areas of risk warning technologies and emergency response mechanisms in railway construction,namely,(i)risk identification methods of large-scale railway construction projects,(ii)risk management of large-scale railway construction,(iii)emergency response planning and management,and(iv)emergency response and rescue mechanisms.After reviewing the existing studies,we present four corresponding research areas and recommendations on the Sichuan-Tibet Railway construction.This study aims to inject new significant theoretical elements into the decision-making process and construction of this railway project in China.
基金The project is supported by CNPC Key Core Technology Research Projects(2022ZG06)received by Qing Wangproject funded by China Postdoctoral Science Foundation(2021M693508)received by Qing Wang.Basic Research and Strategic Reserve Technology Research Fund Project of Institutes directly under CNPC received by Qing Wang.
文摘Sticking is the most serious cause of failure in complex drilling operations.In the present work a novel“early warning”method based on an artificial intelligence algorithm is proposed to overcome some of the known pro-blems associated with existing sticking-identification technologies.The method is tested against a practical case study(Southern Sichuan shale gas drilling operations).It is shown that the twelve sets of sticking fault diagnostic results obtained from a simulation are all consistent with the actual downhole state;furthermore,the results from four groups of verification samples are also consistent with the actual downhole state.This shows that the pro-posed training-based model can effectively be applied to practical situations.
